Function
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<i>Function</i>
. A function of a system or process is one or more of its causal consequences (Wimsatt,
1972). But all systems and processes have many consequences that are not involved in their
functions, assuming they have any functions at all. The heart, for example, not only pumps
blood, but it also creates heart beats and consumes oxygen. The latter two are not
normally considered to be functions of the heart. But, then, on what basis can we
determine which consequences are functions? What of hearts that are not pumping properly:
do they have a function or not? The notion of "
<i>not</i>
pumping properly" relies on a notion of "functioning properly": how can we distinguish
function from dysfunction? The problems of a naturalization of function are not simple.
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I will be relying on a model of natural function -- not designed or intended function --
as being emergent only in certain kinds of open systems. The intuition of the model is
that open systems (a flame, for example) require the maintenance of various conditions
(such as combustion temperature) in order for the systems themselves to continue to exist
-- and, therefore, to continue to have their natural causal influences in the world
(whatever they may be). Functional consequences are those that contribute to the
maintenance of such conditions, and thus that contribute to the maintenance of the
existence of the open system itself (and conversely for dysfunctional consequences). In
turn, they contribute to the maintenance of whatever natural consequences that system
might have (Bickhard, 1993, 1998b, forthcoming).
<u>[1] <http://www.lehigh.edu/~mhb0/critical.html></u>
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<u>[1] <http://www.lehigh.edu/~mhb0/critical.html></u>
It should be noted that the dominant etiological approach to modeling function
(Godfrey-Smith, 1994; Millikan, 1984, 1993) suffers from a serious failure of naturalism:
etiological function cannot be constituted in the current state of a system, but only
current state can be causally efficacious. The etiological model of function, then, is a
model of causally epiphenomenal function (Bickhard, 1993, 1998b, forthcoming).
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